Results 121 to 130 of about 250,191 (314)
Hardware implementation of a convolutional neural network using calculations in the residue number system [PDF]
Компьютерная оптика, 2019 Modern convolutional neural networks architectures are very resource intensive which limits the possibilities for their wide practical application.
Nikolay Chervyakov +4 more
doaj +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Convolutional neural network parameters. [PDF]
, 2020 Convolutional neural network parameters.
Martin Hrabe De Angelis (8293275) +36 more
core +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Phylogenetic convolutional neural networks in metagenomics [PDF]
BMC Bioinformatics, 2018 Presented at BMTL 2017 ...
Fioravanti, Diego +6 more
openaire +7 more sources
Optoelectronic Nanofluidic Neural Networks for Ionic Computing
Advanced Materials, EarlyView.An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang +10 more
wiley +1 more source
Rede neural por convolução para reconstrução estéreo [PDF]
, 2000 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico.Para a modelagem de redes neurais para aplicações de problemas invariantes à translação utilizamos restrições de compartilhamento de pesos.
Otuyama, Júlio Massayuki
core
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting [PDF]
, 2020 Modeling complex spatial and temporal correlations in the correlated time series data is indispensable for understanding the traffic dynamics and predicting the future status of an evolving traffic system.
Bai, Lei +4 more
core
A Convolutional Neural Network Model and Software Tool for Classifying the Presence of a Medical Mask on a Human Face [PDF]
, 2023 A model of a convolutional neural network, a database for training a neural network, and a software tool for classifying the presence of a medical mask on a person’s face, which allows recognizing the presence of a medical mask from the transmitted image,
Hryhorenko, Y.S. +5 more
core
Blind Interleaver Recognition Using Deep Learning Techniques
IEEE AccessIn digital communication systems, channel encoders and interleavers play a crucial role in mitigating the random and burst errors introduced by noisy channels.
Nayim Ahamed, Swaminathan R., B. Naveen
doaj +1 more source